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Water-leak sensor
Temperature sensor
Ultra-thin (3mm/0.12in) design
Up to 10 year battery lifetime
Up to 10 km (6 miles) range
Easy installation
Visit the Strips for LoRaWAN Resource Center
Visit the Sensative
IoT Use Case Library
Strips MS +Drip is an innovative ultra-thin (3mm/0.12in) and wireless multi-sensor for LoRaWAN with water leak detection, developed for smart IoT applications such as building monitoring and operations. MS +Drip is excellent at detecting any water leakage and its slim and sturdy design makes it perfect for mounting concealed in small spaces. With a battery life of up to 10 years, you can set it and forget it.
Basic applications for MS +Drip is to alert in case of a water leak, and the temperature sensor can be used to alert if there is a risk of freezing pipes. Integrated to a smart building system and other IoT devices, MS +Drip can automatically turn on/off water flow or sound an alarm to alert the user about the water leak.
Product | Strips Multi-sensor +Drip for LoRaWAN |
---|---|
Features | Default
Configurable
|
Reporting | Temperature reporting based on deviation to save battery |
Regions | Europe (863-870 MHz) North America (902 – 928 MHz) |
Range | Up to + 14 dBm output power Rx sensitivity -137 dBm Up to 10 km range (free line of sight) |
Dimensions | Sensor: 195*15*2.98 mm (7.67 × 0.59 × 0.12 in) Magnet: 12*2 mm (0.47 × 0.12 in) Mounting plate: 195*15*3 mm (7.67 × 0.59 × 0.12 in) |
Operating Conditions | -30°C to +60°C ( -22°F to +140°F) Indoor usage |
Power Supply | Built-in LiMnO2 battery. Battery life up to 10 years, depending on for instance network radio quality |
Device type | Type A |
Supports | LoRaWAN v1.0.3 Supports +Switch |
Sensative Strips are protected by one or more of the following patents:
Elongated wireless sensor assembly
Sweden: SE 537 509
Europe: 3053152
EP 3 670 811 B1
USA: 9,953,496
USA: 10,720,033
USA; 11,170,617
Digitalization Infrastructure Management System (DiMS)
Have you heard about ChatGPT? It’s everywhere in the media, where people experiment with its AI capabilities. So, we thought we should take a look